trendct.github.io

TrendCT Hackathon by trendct

October 6, 2015. Small State, Big Debate. Welcome to the TrendCT and Connecticut Mirror hackathon on disparate treatment by race. Between 9 am and 5 pm (or earlier), we will focus on creating useful tools or extracting unexpected stories from Connecticut's racial profiling data, which records every traffic stop in the state. At Central Connecticut State University and the Connecticut Data Collaborative. The traffic stop data. Raw - Oct. 2013 - Sep. 2015. Map - Oct. 2013 - Sep. 2015. Stories from the data.

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TrendCT Hackathon by trendct | trendct.github.io Reviews

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October 6, 2015. Small State, Big Debate. Welcome to the TrendCT and Connecticut Mirror hackathon on disparate treatment by race. Between 9 am and 5 pm (or earlier), we will focus on creating useful tools or extracting unexpected stories from Connecticut's racial profiling data, which records every traffic stop in the state. At Central Connecticut State University and the Connecticut Data Collaborative. The traffic stop data. Raw - Oct. 2013 - Sep. 2015. Map - Oct. 2013 - Sep. 2015. Stories from the data.

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1 trendct hackathon

2 view on github

3 trendct

4 methodology

5 and for what

6 previous hackathon project

7 additional useful data

8 twitter api twitter

9 instagram api instagram

10 resources

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TrendCT Hackathon by trendct | trendct.github.io Reviews

https://trendct.github.io

October 6, 2015. Small State, Big Debate. Welcome to the TrendCT and Connecticut Mirror hackathon on disparate treatment by race. Between 9 am and 5 pm (or earlier), we will focus on creating useful tools or extracting unexpected stories from Connecticut's racial profiling data, which records every traffic stop in the state. At Central Connecticut State University and the Connecticut Data Collaborative. The traffic stop data. Raw - Oct. 2013 - Sep. 2015. Map - Oct. 2013 - Sep. 2015. Stories from the data.

INTERNAL PAGES

trendct.github.io

1

ticket time analysis

http://trendct.github.io/ct-tickets/ticket_time_analysis.html

July 5, 2015. An analysis for the TrendCT story: What time of day drivers get ticketed the most in Connecticut. The data is from the Connecticut Racial Profiling Prohibition Project. Hosted at the CT Data Collaborative. Which collects traffic incident reports between October 2013 and September 2014. What times do drivers get ticketed? C - ggplot(incidents, aes(x=Hour2) c - c geom histogram(colour=darkred,fill=white, binwidth=1) c. Lunch time is most-frequent. Break it down by Department as a whole. MTA S...

2

department_analysis

http://trendct.github.io/ct-tickets/department_analysis.html

July 10, 2015. An analysis for the TrendCT story: Police departments that hand out the most traffic tickets in Connecticut. The data is from the Connecticut Racial Profiling Prohibition Project. Hosted at the CT Data Collaborative. Which collects traffic incident reports between October 2013 and September 2014. Skip ahead and download the summary dataset. Generated by this analysis. There were 595951 traffic tickets total. State police issue about 1/3 of all tickets in Connecticut. Something - Something ...

3

warnings_analysis

http://trendct.github.io/ct-tickets/warnings_analysis.html

July 15, 2015. For the TrendCT story: Who gets off with a warning after a traffic stop in Connecticut? The data is from the Connecticut Racial Profiling Prohibition Project. Hosted at the CT Data Collaborative. Which collects traffic incident reports between October 2013 and September 2014. There were 595951 traffic stops in this data set. OK, let’s take a look at departments and tickets vs warnings. Police were most harsh on drivers pulled over for a suspended license. Putnam and Middlebury are towns wi...

4

Traffic tickets in Connecticut overview

http://trendct.github.io/ct-tickets/incidents_analysis.html

Traffic tickets in Connecticut overview. July 3, 2015. An analysis for the TrendCT story: When do police most often ticket drivers? The data is from the Connecticut Racial Profiling Prohibition Project. Hosted at the CT Data Collaborative. Which collects traffic incident reports between October 2013 and September 2014. Most popular ticket type. Which month has the most tickets? Which day of the week gets the most tickets? C - ggplot(incidents, aes(x=Day.of.Week) c - c geom histogram(colour=darkre...Incid...

5

correlator

http://trendct.github.io/ct-tickets/correlator.html

July 27, 2015. For the TrendCT quiz: Quiz: What correlates with traffic tickets per town? The traffic ticket data is from the Connecticut Racial Profiling Prohibition Project. Hosted at the CT Data Collaborative. Which collects traffic incident reports between October 2013 and September 2014. Data is from the Department of Transportation. Data is from the US Census. The business revenue and taxes data. Is from the Connecticut Data Portal. The Dunkin’ Donuts data. Warning in left join impl(x, y, by$x, by$...

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October 6, 2015. Small State, Big Debate. Welcome to the TrendCT and Connecticut Mirror hackathon on disparate treatment by race. Between 9 am and 5 pm (or earlier), we will focus on creating useful tools or extracting unexpected stories from Connecticut's racial profiling data, which records every traffic stop in the state. At Central Connecticut State University and the Connecticut Data Collaborative. The traffic stop data. Raw - Oct. 2013 - Sep. 2015. Map - Oct. 2013 - Sep. 2015. Stories from the data.

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